Thomas Lento

2.0k total citations · 1 hit paper
10 papers, 1.2k citations indexed

About

Thomas Lento is a scholar working on Communication, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Thomas Lento has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Communication, 5 papers in Sociology and Political Science and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Thomas Lento's work include Social Media and Politics (7 papers), Complex Network Analysis Techniques (5 papers) and Opinion Dynamics and Social Influence (4 papers). Thomas Lento is often cited by papers focused on Social Media and Politics (7 papers), Complex Network Analysis Techniques (5 papers) and Opinion Dynamics and Social Influence (4 papers). Thomas Lento collaborates with scholars based in United States, Israel and United Kingdom. Thomas Lento's co-authors include Cameron Marlow, Moira Burke, Itamar Rosenn, Eric Sun, Janet L. Wiener, Nathan Bronson, Marc A. Smith, Lilian Weng, Lada A. Adamic and Andrew T. Fiore and has published in prestigious journals such as National Conference on Artificial Intelligence, Proceedings of the International AAAI Conference on Web and Social Media and eCommons (Cornell University).

In The Last Decade

Thomas Lento

9 papers receiving 1.2k citations

Hit Papers

Social network activity and social well-being 2010 2026 2015 2020 2010 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Lento United States 6 857 493 220 126 121 10 1.2k
German Neubaum Germany 17 754 0.9× 523 1.1× 188 0.9× 70 0.6× 60 0.5× 47 1.1k
David Huffaker United States 14 698 0.8× 459 0.9× 117 0.5× 284 2.3× 194 1.6× 30 1.4k
K. Hazel Kwon United States 23 932 1.1× 718 1.5× 224 1.0× 66 0.5× 141 1.2× 70 1.4k
Marc Ziegele Germany 23 986 1.2× 843 1.7× 73 0.3× 68 0.5× 57 0.5× 51 1.5k
Lindsay T. Graham United States 6 745 0.9× 284 0.6× 62 0.3× 110 0.9× 56 0.5× 9 1.0k
Eric Nickell United States 10 1.3k 1.5× 281 0.6× 109 0.5× 88 0.7× 149 1.2× 12 1.8k
Veronika Karnowski Germany 14 736 0.9× 560 1.1× 63 0.3× 80 0.6× 95 0.8× 38 1.1k
Bahiyah Omar Malaysia 16 1.2k 1.4× 494 1.0× 46 0.2× 213 1.7× 203 1.7× 55 1.5k
Devan Rosen United States 12 591 0.7× 521 1.1× 96 0.4× 253 2.0× 55 0.5× 22 1.1k
Mike Schmierbach United States 23 969 1.1× 587 1.2× 63 0.3× 60 0.5× 51 0.4× 54 1.5k

Countries citing papers authored by Thomas Lento

Since Specialization
Citations

This map shows the geographic impact of Thomas Lento's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas Lento with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Lento more than expected).

Fields of papers citing papers by Thomas Lento

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Lento. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas Lento. The network helps show where Thomas Lento may publish in the future.

Co-authorship network of co-authors of Thomas Lento

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Lento. A scholar is included among the top collaborators of Thomas Lento based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Lento. Thomas Lento is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Bäckström, Lars, Eytan Bakshy, Jon Kleinberg, Thomas Lento, & Itamar Rosenn. (2021). Center of Attention: How Facebook Users Allocate Attention across Friends. Proceedings of the International AAAI Conference on Web and Social Media. 5(1). 34–41. 6 indexed citations
2.
Bronson, Nathan, Thomas Lento, & Janet L. Wiener. (2015). Open data challenges at Facebook. 2. 1516–1519. 12 indexed citations
3.
Weng, Lilian & Thomas Lento. (2014). Topic-Based Clusters in Egocentric Networks on Facebook. Proceedings of the International AAAI Conference on Web and Social Media. 8(1). 623–626. 4 indexed citations
4.
Adamic, Lada A., Thomas Lento, & Andrew T. Fiore. (2012). How You Met Me. 7 indexed citations
5.
Lento, Thomas. (2011). How Social Are Social Movements? Social Ties, Local Network Structure, And Continued Participation In Voluntary Associations. eCommons (Cornell University).
6.
Burke, Moira, Cameron Marlow, & Thomas Lento. (2010). Social network activity and social well-being. 1909–1912. 775 indexed citations breakdown →
7.
Sun, Eric, Itamar Rosenn, Cameron Marlow, & Thomas Lento. (2009). Gesundheit! Modeling Contagion through Facebook News Feed. Proceedings of the International AAAI Conference on Web and Social Media. 3(1). 146–153. 146 indexed citations
8.
Burke, Moira, Cameron Marlow, & Thomas Lento. (2009). Feed me. 945–954. 292 indexed citations
9.
Lento, Thomas, Howard T. Welser, Eric Gleave, & Marc A. Smith. (2007). Builders, Connectors and Lurkers: How Early Social Network Structure Shapes Subsequent Role Taking and Retention in Weblogging Communities. 1–11. 1 indexed citations
10.
Johns, Paul, et al.. (2006). How Do Blog Gardens Grow? Language Community Correlates with Network Diffusion and Adoption of Blogging Systems.. National Conference on Artificial Intelligence. 47–54. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026